Triple
T18636898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Arias Navarro |
E455574
|
entity |
| Predicate | endTimeOfPosition_MayorOfMadrid |
P90671
|
FINISHED |
| Object | 1973 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1973 | Statement: [Carlos Arias Navarro, endTimeOfPosition_MayorOfMadrid, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfPosition_MayorOfMadrid Context triple: [Carlos Arias Navarro, endTimeOfPosition_MayorOfMadrid, 1973]
-
A.
endTime (Mayor of Madrid)
chosen
Indicates the point in time at which a person’s tenure as Mayor of Madrid concludes.
-
B.
termEndAsMayor
Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
-
C.
termEndAsMayorOfLosAngeles
Indicates that a person’s tenure serving as the mayor of Los Angeles has concluded.
-
D.
endTimeAsMayorOfParis
Indicates the date and time at which an individual’s tenure as Mayor of Paris comes to an end.
-
E.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc90b508190849cecb462b52b62 |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.